Is there an efficient way to create a 3 dimensional sparse matrix?
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Hello, all ! I have some 2 dimensional large sparse matrix (may be more than 102,400,000 * 102,400,000) and want them to generate a 3 dimensional sparse matrix. I have tried the ndSparse function, but through profile report, it occupies lots of time. I am wandering if there are some other more efficient methods are slove this problem ! Thank you very much!
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Matt J
on 28 Oct 2016
I have some 2 dimensional large sparse matrix (may be more than 102,400,000 * 102,400,000) and want them to generate a 3 dimensional sparse matrix
You mean you want to stack them to create a sparse array of size 102400000 x 102400000 x N? What is the density of these arrays (percentage of of nonzeros) and what will you do with them?
Accepted Answer
Jan
on 28 Oct 2016
A solution depends on what you want to do with the data:
All sparse methods I know are optimized for 2D array manipulations. Therefore I assume, that the creation of the 3D-sparse array will not be the bottleneck for the complete program. If you do not need optimized 2D matrix manipulation methods, you can store the data in a cell array of 2d sparse matrices also, or in one 2D sparse array using a conversion of the indices.
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